Evidence map›Paper›PMID 34758876›Full record

ArticleCancer imaging : the official publication of the International Cancer Imaging Society2021

Comparison of the pre-treatment functional MRI metrics' efficacy in predicting Locoregionally advanced nasopharyngeal carcinoma response to induction chemotherapy.

Da-Wei Zhao, Wen-Jun Fan, Ling-Ling Meng, Yan-Rong Luo, Jian Wei, Kun Liu, Gang Liu, Jin-Feng Li, Xiao Zang, Meng Li and 2 more

Open access · goldAbstract read
In one paragraph

Article in Cancer imaging : the official publication of the International Cancer Imaging Society, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed
2.2field-weighted citation impact, top 12% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

23 citing papers in PubMed, 27 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Histogram analysis of multiple diffusion models for predicting advanced non-small cell lung cancer response to chemoimmunotherapy.Cancer imaging : the official publication of the International Cancer Imaging Society · 2024
    Article
  18. Article
  19. Article
  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

12 authors at 1 institution in 1 country.

Da-Wei Zhao *Medical School of Chinese PLA, No.28 Fuxing Road, Beijing, 100853, China.
Wen-Jun Fan *Department of Radiation Oncology, First Medical Center of Chinese PLA General Hospital, Beijing, China.
Ling-Ling MengDepartment of Radiation Oncology, First Medical Center of Chinese PLA General Hospital, Beijing, China.
Yan-Rong LuoDepartment of Radiation Oncology, First Medical Center of Chinese PLA General Hospital, Beijing, China.
Jian WeiDepartment of Otolaryngology, First Medical Center of Chinese PLA General Hospital, Beijing, China.
Kun LiuDepartment of Otolaryngology, First Medical Center of Chinese PLA General Hospital, Beijing, China.
Gang LiuDepartment of Radiology, First Medical Center of Chinese PLA General Hospital, Beijing, China.
Jin-Feng LiDepartment of Radiology, First Medical Center of Chinese PLA General Hospital, Beijing, China.
Xiao ZangDepartment of Radiology, First Medical Center of Chinese PLA General Hospital, Beijing, China.
Meng LiDepartment of Radiology, First Medical Center of Chinese PLA General Hospital, Beijing, China.
Xin-Xin ZhangDepartment of Otolaryngology, First Medical Center of Chinese PLA General Hospital, Beijing, China.
Lin MaDepartment of Radiation Oncology, First Medical Center of Chinese PLA General Hospital, Beijing, China. malinpharmpla@126.com.ORCID http://orcid.org/0000-0001-8520-8449
Chinese PLA General Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundFunctional MRI (fMRI) parameters analysis has been proven to be a promising tool of predicting therapeutic response to induction chemotherapy (IC) in nasopharyngeal carcinoma (NPC). The study was designed to identify and compare the value of fMRI parameters in predicting early response to IC in patients with NPC.

methodsThis prospective study enrolled fifty-six consecutively NPC patients treated with IC from January 2021 to May 2021. Conventional diffusion weighted imaging (DWI), diffusion kurtosis imaging (DKI), intravoxel incoherent motion (IVIM) and dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) protocols were performed before and after IC. Parameters maps (ADC, MD, MK, D

resultsAfter IC, the mean values of ADC(p < 0.001), MD(p < 0.001), D

conclusionsThe pretreatment conventional DWI (ADC), DKI (MD and MK), and IVIM (D

trial registrationThis study was approved by ethics board of the Chinese PLA General Hospital, and registered on January 30, 2021, in Chinese Clinical Trial Registry ( ChiCTR2100042863 ).

Indexed as

Diffusion Magnetic Resonance ImagingInduction ChemotherapyMagnetic Resonance ImagingNasopharyngeal CarcinomaNasopharyngeal NeoplasmsAdolescentAdultAgedFemaleHumansMaleMiddle AgedPredictive Value of TestsProspective StudiesTreatment OutcomeFunctional magnetic resonance imagingInduction chemotherapyMagnetic resonance imagingNasopharyngeal carcinoma

Identifiers

PMID34758876
PMCPMC8579637
OpenAlexW3213422513

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.